Application of MCSA and SVM to induction machine rotor fault diagnosis

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2006, Pages 5543-5547

  Ruiming, Fang ^a   Hongzhong, Ma ^b  

^a HUAQIAO UNIVERSITY   (China)

^b HOHAI UNIVERSITY   (China)

Author keywords

Fault diagnostics; Induction machine; Motor current signal analysis; Support vector machine

Indexed keywords

ALGORITHMS; FAILURE ANALYSIS; NUMERICAL METHODS; SIGNAL ANALYSIS; STATORS; SUPPORT VECTOR MACHINES;

ECCENTRICITY; FREQUENCY SPECTRUMS; MOTOR CURRENT SIGNAL ANALYSIS; STATOR CURRENT SIGNALS;

ASYNCHRONOUS MACHINERY;

EID: 34047241994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1714134     Document Type: Conference Paper

References (5)

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4. E Mayoraz, E. Alpaydin. "Support Vector Machines for Multi-Class Classification", Int. Workshop on Artificial Neural Networks, Vol.2, 4, pp.833-842, July/August,1999
5. Xinguo Hou, Li Xia, Zhenguo Wu, "Fault Diagnosis Method for Induction Motor Based on Wavelet Transformation and Neural Network," Journal of Data Acquisition & Processing, Vol.19, no.1, pp. 32-36, Mar. 2004